I really appreciate Octave Imagine (ERDAS IMAGINE) for its powerful classification capability. It makes it easier to distinguish and identify the differences between land classes and land use, which is very important for us, especially in rapidly growing cities like Addis Ababa, Ethiopia. The classification tools are very reliable when we carefully prepare our training samples. I also like how it allows us to identify the building tab, which is a challenge in rapidly urbanizing areas. Its strong change detection capability is another major advantage, and the image processing environment offers a great workflow compared to other software. Additionally, converting raster to vector format helps us filter and identify elements of land use and land cover change effectively. Overall, these tools are crucial for our land use and land cover analysis. Review collected by and hosted on G2.com.

The time framework is more essential to identify the types of land and land cover. Due to this, it's better to improve access to get recent images. Review collected by and hosted on G2.com.

It can process various types of big data, and the output resolution is high. However, sometimes it doesn’t accept TIFF data and ends up showing blank images. Connecting folders is also hectic and takes more effort than it should. Review collected by and hosted on G2.com.

It doesn't take TIFF format sometimes.

Slow processing time

Font style is outdated

Image pre processing doesn't work sometime

Image classification also crappy Review collected by and hosted on G2.com.

I have been using this application to turn my imagination into reality in a timely manner. I have been using this application a lot lately and have been very happy with it. Review collected by and hosted on G2.com.

It needs to be faster than the other competitors that are out there. Once the context is given the waiting time period is a lot than other vendors. That is causing a lot of delay in my work. Review collected by and hosted on G2.com.

I like Octave Imagine (ERDAS IMAGINE) because it is easy to process satellite images and analyze remote sensing data. It has many useful tools for image classification, change detection, and data visualization. It helps me complete GIS and remote sensing projects more efficiently. Review collected by and hosted on G2.com.

Sometimes the software is slow when working with large datasets. It can also be difficult for beginners to learn because it has many tools and options. Review collected by and hosted on G2.com.

The tool was very easy to use with a great user interface. Everything was intuitive and natural. Also the features were very powerful and worked better than expected. Review collected by and hosted on G2.com.

The time taken to do each task was a little long. If the processing time can be reduced then the service would be one of the best in the market and would surely succeed. Review collected by and hosted on G2.com.

What I appreciate most is how it handles large raster datasets without choking — you can work with massive satellite imagery files and the processing pipeline stays manageable. The spectral analysis tools are genuinely powerful once you get used to them; things like band combinations and supervised classification feel well thought-out compared to more general GIS tools.I also like that it integrates reasonably well into broader workflows — connecting with ArcGIS or exporting to standard formats isn't a headache. And the Spatial Modeler (the graphical workflow builder) is something I find myself coming back to, because it lets you build repeatable processing chains visually, which is useful when you're doing the same type of analysis across multiple datasets.

It also has AI / Intelligence. Lots of it. Oh my god. Review collected by and hosted on G2.com.

The interface feels like it hasn't fully shed its legacy roots — it can be unintuitive, especially when you're trying to find a specific tool that you know exists but is buried three menus deep. The learning curve is steep for new users, and the documentation doesn't always bridge that gap well.

Performance can also be inconsistent — certain processing jobs that should be straightforward take longer than expected, and error messages aren't always helpful in telling you why something failed. You often end up troubleshooting by trial and error.

And the licensing model is frustrating. It's expensive, and in a team setting, license conflicts and seat availability become a real friction point. Review collected by and hosted on G2.com.

What I liked most about Octave Imagine (ERDAS IMAGINE) is how well it brings satellite imagery and remote sensing tasks together in a single platform. I also appreciated the wide range of practical tools it provides for image processing, mapping, and spatial analysis, which I found especially helpful for academic and environmental work. Review collected by and hosted on G2.com.

The biggest downside for me was the learning curve, especially when I was trying to figure out ecology-related tasks. Some tools and workflows can feel complicated for beginners, and the interface takes time to get used to when you’re still learning remote sensing and GIS analysis. Review collected by and hosted on G2.com.

What I like best about ERDAS IMAGINE is how its image processing and spatial analysis tools directly support my water and environmental modeling projects. The Spatial Modeler lets me build custom, repeatable workflows like watershed delineation, flood extent mapping, and time-series vegetation analysis without scripting everything from scratch.

The object-based feature extraction is a game-changer for classifying complex wetland and riparian zones, giving me cleaner results than pixel-based methods. I also rely on the seamless handling of multispectral, thermal, and radar data to monitor changes even under cloud cover.

An unexpected bonus is the cartographic output: I can produce publication-ready maps right in IMAGINE, which saves me from exporting to another GIS. The ribbon interface and step-by-step workflow pane make the UI intuitive, and the drag-and-drop model builder has noticeably reduced the time my team spends on repetitive processing, so we can focus on interpreting results and crafting real solutions for water-resource challenges. Review collected by and hosted on G2.com.

The cost is very high and hard to justify when performance lags badly with large datasets. Working with big multispectral mosaics or long time series often causes hangs or crashes, forcing me to break data into smaller pieces just to keep working. Support delays are another pain point, sometimes taking days to resolve licensing or processing issues right when deadlines are tight. The frequent updates disrupt the classic interface and signature workflow that experienced users depend on, adding an unnecessary learning curve each time. On top of that, the AI and intelligence capabilities feel underdeveloped. Automated classification wizards and feature extraction often produce unreliable results that need heavy manual cleanup, and there is no meaningful integration of modern deep learning tools. Integrations with other platforms are weak too. Moving data between ERDAS IMAGINE and common GIS packages like ArcGIS or QGIS is clunky, file format support can be inconsistent, and a proper API to streamline cross-platform workflows is missing. I wish they would stabilize a long term support version with the original tool layout, speed up processing for large raster volumes, offer a more affordable consulting firm tier, provide faster expert support, and deliver real AI powered analysis and smoother third party integrations so the software doesn't become the bottleneck in critical environmental work. Review collected by and hosted on G2.com.

It has a drag and drop workflow builder that allows you to build analytical capabilities without the need for writing complex codes and build complicated processes. Review collected by and hosted on G2.com.

It can be pretty overwhelming if you are using this as a beginner. The learning cure on this software is quite steep. There are also issues with slowness and bottlenecks when processing large amounts of data. Review collected by and hosted on G2.com.

its comprehensive set of remote sensing and image analysis tools. It handles large datasets efficiently, supports advanced raster processing, and integrates well with GIS workflows, making it a valuable tool for geospatial analysis and satellite imagery interpretation. Review collected by and hosted on G2.com.

the steep learning curve for advanced functions, the high hardware requirements for processing large datasets, and the cost of licensing. Some workflows can also feel less intuitive compared to newer GIS and remote sensing software. Review collected by and hosted on G2.com.